Overview

Brought to you by YData

Dataset statistics

Number of variables	24
Number of observations	30000
Missing cells	600
Missing cells (%)	0.1%
Duplicate rows	32
Duplicate rows (%)	0.1%
Total size in memory	5.5 MiB
Average record size in memory	192.0 B

Variable types

Numeric	14
Categorical	10

Alerts

Dataset has 32 (0.1%) duplicate rows	Duplicates
`bill_statement_apr` is highly overall correlated with `bill_statement_aug` and 8 other fields	High correlation
`bill_statement_aug` is highly overall correlated with `bill_statement_apr` and 5 other fields	High correlation
`bill_statement_jul` is highly overall correlated with `bill_statement_apr` and 6 other fields	High correlation
`bill_statement_jun` is highly overall correlated with `bill_statement_apr` and 9 other fields	High correlation
`bill_statement_may` is highly overall correlated with `bill_statement_apr` and 9 other fields	High correlation
`bill_statement_sep` is highly overall correlated with `bill_statement_apr` and 5 other fields	High correlation
`payment_status_apr` is highly overall correlated with `payment_status_jun` and 1 other fields	High correlation
`payment_status_aug` is highly overall correlated with `payment_status_jul` and 1 other fields	High correlation
`payment_status_jul` is highly overall correlated with `payment_status_aug` and 1 other fields	High correlation
`payment_status_jun` is highly overall correlated with `payment_status_apr` and 2 other fields	High correlation
`payment_status_may` is highly overall correlated with `payment_status_apr` and 1 other fields	High correlation
`payment_status_sep` is highly overall correlated with `payment_status_aug`	High correlation
`previous_payment_apr` is highly overall correlated with `bill_statement_apr` and 4 other fields	High correlation
`previous_payment_aug` is highly overall correlated with `bill_statement_jul` and 5 other fields	High correlation
`previous_payment_jul` is highly overall correlated with `bill_statement_apr` and 7 other fields	High correlation
`previous_payment_jun` is highly overall correlated with `bill_statement_apr` and 6 other fields	High correlation
`previous_payment_may` is highly overall correlated with `bill_statement_apr` and 5 other fields	High correlation
`previous_payment_sep` is highly overall correlated with `bill_statement_aug` and 5 other fields	High correlation
`payment_status_aug` is highly imbalanced (58.4%)	Imbalance
`payment_status_jul` is highly imbalanced (59.7%)	Imbalance
`payment_status_jun` is highly imbalanced (62.1%)	Imbalance
`payment_status_may` is highly imbalanced (62.3%)	Imbalance
`payment_status_apr` is highly imbalanced (61.7%)	Imbalance
`previous_payment_aug` is highly skewed (γ1 = 30.45381745)	Skewed
`bill_statement_sep` has 2008 (6.7%) zeros	Zeros
`bill_statement_aug` has 2506 (8.4%) zeros	Zeros
`bill_statement_jul` has 2870 (9.6%) zeros	Zeros
`bill_statement_jun` has 3195 (10.7%) zeros	Zeros
`bill_statement_may` has 3506 (11.7%) zeros	Zeros
`bill_statement_apr` has 4020 (13.4%) zeros	Zeros
`previous_payment_sep` has 5249 (17.5%) zeros	Zeros
`previous_payment_aug` has 5396 (18.0%) zeros	Zeros
`previous_payment_jul` has 5968 (19.9%) zeros	Zeros
`previous_payment_jun` has 6408 (21.4%) zeros	Zeros
`previous_payment_may` has 6703 (22.3%) zeros	Zeros
`previous_payment_apr` has 7173 (23.9%) zeros	Zeros

Reproduction

Analysis started	2024-11-04 01:13:54.786548
Analysis finished	2024-11-04 01:14:13.939818
Duration	19.15 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

limit_bal
Real number (ℝ)

Distinct	81
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167484.32

Minimum	10000
Maximum	1000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	10000
5-th percentile	20000
Q1	50000
median	140000
Q3	240000
95-th percentile	430000
Maximum	1000000
Range	990000
Interquartile range (IQR)	190000

Descriptive statistics

Standard deviation	129747.66
Coefficient of variation (CV)	0.77468541
Kurtosis	0.5362629
Mean	167484.32
Median Absolute Deviation (MAD)	90000
Skewness	0.99286696
Sum	5.0245297 × 10⁹
Variance	1.6834456 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50000	3365	11.2%
20000	1976	6.6%
30000	1610	5.4%
80000	1567	5.2%
200000	1528	5.1%
150000	1110	3.7%
100000	1048	3.5%
180000	995	3.3%
360000	881	2.9%
60000	825	2.8%
Other values (71)	15095	50.3%

Value	Count	Frequency (%)
10000	493	1.6%
16000	2	< 0.1%
20000	1976	6.6%
30000	1610	5.4%
40000	230	0.8%
50000	3365	11.2%
60000	825	2.8%
70000	731	2.4%
80000	1567	5.2%
90000	651	2.2%

Value	Count	Frequency (%)
1000000	1	< 0.1%
800000	2	< 0.1%
780000	2	< 0.1%
760000	1	< 0.1%
750000	4	< 0.1%
740000	2	< 0.1%
730000	2	< 0.1%
720000	3	< 0.1%
710000	6	< 0.1%
700000	8	< 0.1%

sex
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	150
Missing (%)	0.5%
Memory size	234.5 KiB

Female	18027
Male	11823

Length

Max length	6
Median length	6
Mean length	5.2078392
Min length	4

Characters and Unicode

Total characters	155454
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	18027	60.1%
Male	11823	39.4%
(Missing)	150	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	18027	60.4%
male	11823	39.6%

Most occurring characters

Value	Count	Frequency (%)
e	47877	30.8%
a	29850	19.2%
l	29850	19.2%
F	18027	11.6%
m	18027	11.6%
M	11823	7.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	155454	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	47877	30.8%
a	29850	19.2%
l	29850	19.2%
F	18027	11.6%
m	18027	11.6%
M	11823	7.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	155454	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	47877	30.8%
a	29850	19.2%
l	29850	19.2%
F	18027	11.6%
m	18027	11.6%
M	11823	7.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	155454	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	47877	30.8%
a	29850	19.2%
l	29850	19.2%
F	18027	11.6%
m	18027	11.6%
M	11823	7.6%

education
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	150
Missing (%)	0.5%
Memory size	234.5 KiB

University	13960
Graduate school	10537
High school	4886
Others	467

Length

Max length	15
Median length	11
Mean length	11.866097
Min length	6

Characters and Unicode

Total characters	354203
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	University
2nd row	University
3rd row	University
4th row	University
5th row	University

Common Values

Value	Count	Frequency (%)
University	13960	46.5%
Graduate school	10537	35.1%
High school	4886	16.3%
Others	467	1.6%
(Missing)	150	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
school	15423	34.1%
university	13960	30.8%
graduate	10537	23.3%
high	4886	10.8%
others	467	1.0%

Most occurring characters

Value	Count	Frequency (%)
i	32806	9.3%
o	30846	8.7%
s	29850	8.4%
e	24964	7.0%
t	24964	7.0%
r	24964	7.0%
a	21074	5.9%
h	20776	5.9%
	15423	4.4%
l	15423	4.4%
Other values (11)	113113	31.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	354203	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	32806	9.3%
o	30846	8.7%
s	29850	8.4%
e	24964	7.0%
t	24964	7.0%
r	24964	7.0%
a	21074	5.9%
h	20776	5.9%
	15423	4.4%
l	15423	4.4%
Other values (11)	113113	31.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	354203	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	32806	9.3%
o	30846	8.7%
s	29850	8.4%
e	24964	7.0%
t	24964	7.0%
r	24964	7.0%
a	21074	5.9%
h	20776	5.9%
	15423	4.4%
l	15423	4.4%
Other values (11)	113113	31.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	354203	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	32806	9.3%
o	30846	8.7%
s	29850	8.4%
e	24964	7.0%
t	24964	7.0%
r	24964	7.0%
a	21074	5.9%
h	20776	5.9%
	15423	4.4%
l	15423	4.4%
Other values (11)	113113	31.9%

marriage
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	150
Missing (%)	0.5%
Memory size	234.5 KiB

Single	15891
Married	13585
Others	374

Length

Max length	7
Median length	6
Mean length	6.4551089
Min length	6

Characters and Unicode

Total characters	192685
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Married
2nd row	Single
3rd row	Single
4th row	Married
5th row	Married

Common Values

Value	Count	Frequency (%)
Single	15891	53.0%
Married	13585	45.3%
Others	374	1.2%
(Missing)	150	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
single	15891	53.2%
married	13585	45.5%
others	374	1.3%

Most occurring characters

Value	Count	Frequency (%)
e	29850	15.5%
i	29476	15.3%
r	27544	14.3%
S	15891	8.2%
g	15891	8.2%
n	15891	8.2%
l	15891	8.2%
M	13585	7.1%
a	13585	7.1%
d	13585	7.1%
Other values (4)	1496	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	192685	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	29850	15.5%
i	29476	15.3%
r	27544	14.3%
S	15891	8.2%
g	15891	8.2%
n	15891	8.2%
l	15891	8.2%
M	13585	7.1%
a	13585	7.1%
d	13585	7.1%
Other values (4)	1496	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	192685	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	29850	15.5%
i	29476	15.3%
r	27544	14.3%
S	15891	8.2%
g	15891	8.2%
n	15891	8.2%
l	15891	8.2%
M	13585	7.1%
a	13585	7.1%
d	13585	7.1%
Other values (4)	1496	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	192685	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	29850	15.5%
i	29476	15.3%
r	27544	14.3%
S	15891	8.2%
g	15891	8.2%
n	15891	8.2%
l	15891	8.2%
M	13585	7.1%
a	13585	7.1%
d	13585	7.1%
Other values (4)	1496	0.8%

age
Real number (ℝ)

Distinct	56
Distinct (%)	0.2%
Missing	150
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	35.490117

Minimum	21
Maximum	79
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	21
5-th percentile	23
Q1	28
median	34
Q3	41
95-th percentile	53
Maximum	79
Range	58
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.217852
Coefficient of variation (CV)	0.25973011
Kurtosis	0.046425463
Mean	35.490117
Median Absolute Deviation (MAD)	6
Skewness	0.73247263
Sum	1059380
Variance	84.968796
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29	1602	5.3%
27	1470	4.9%
28	1402	4.7%
30	1388	4.6%
26	1246	4.2%
31	1208	4.0%
25	1180	3.9%
32	1156	3.9%
34	1154	3.8%
33	1139	3.8%
Other values (46)	16905	56.4%

Value	Count	Frequency (%)
21	66	0.2%
22	558	1.9%
23	922	3.1%
24	1120	3.7%
25	1180	3.9%
26	1246	4.2%
27	1470	4.9%
28	1402	4.7%
29	1602	5.3%
30	1388	4.6%

Value	Count	Frequency (%)
79	1	< 0.1%
75	3	< 0.1%
74	1	< 0.1%
73	4	< 0.1%
72	3	< 0.1%
71	3	< 0.1%
70	10	< 0.1%
69	15	0.1%
68	5	< 0.1%
67	16	0.1%

payment_status_sep
Categorical

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.5 KiB

Unknown	17496
Payed duly	5686
Payment delayed 1 month	3688
Payment delayed 2 months	2667
Payment delayed 3 months	322
Other values (5)	141

Length

Max length	24
Median length	7
Mean length	11.3092
Min length	7

Characters and Unicode

Total characters	339276
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Payment delayed 2 months
2nd row	Payed duly
3rd row	Unknown
4th row	Unknown
5th row	Payed duly

Common Values

Value	Count	Frequency (%)
Unknown	17496	58.3%
Payed duly	5686	19.0%
Payment delayed 1 month	3688	12.3%
Payment delayed 2 months	2667	8.9%
Payment delayed 3 months	322	1.1%
Payment delayed 4 months	76	0.3%
Payment delayed 5 months	26	0.1%
Payment delayed 8 months	19	0.1%
Payment delayed 6 months	11	< 0.1%
Payment delayed 7 months	9	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	17496	31.2%
delayed	6818	12.1%
payment	6818	12.1%
duly	5686	10.1%
payed	5686	10.1%
1	3688	6.6%
month	3688	6.6%
months	3130	5.6%
2	2667	4.8%
3	322	0.6%
Other values (5)	141	0.3%

Most occurring characters

Value	Count	Frequency (%)
n	66124	19.5%
e	26140	7.7%
	26140	7.7%
d	25008	7.4%
y	25008	7.4%
o	24314	7.2%
a	19322	5.7%
U	17496	5.2%
k	17496	5.2%
w	17496	5.2%
Other values (15)	74732	22.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	339276	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	66124	19.5%
e	26140	7.7%
	26140	7.7%
d	25008	7.4%
y	25008	7.4%
o	24314	7.2%
a	19322	5.7%
U	17496	5.2%
k	17496	5.2%
w	17496	5.2%
Other values (15)	74732	22.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	339276	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	66124	19.5%
e	26140	7.7%
	26140	7.7%
d	25008	7.4%
y	25008	7.4%
o	24314	7.2%
a	19322	5.7%
U	17496	5.2%
k	17496	5.2%
w	17496	5.2%
Other values (15)	74732	22.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	339276	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	66124	19.5%
e	26140	7.7%
	26140	7.7%
d	25008	7.4%
y	25008	7.4%
o	24314	7.2%
a	19322	5.7%
U	17496	5.2%
k	17496	5.2%
w	17496	5.2%
Other values (15)	74732	22.0%

payment_status_aug
Categorical

High correlation Imbalance

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.5 KiB

Unknown	19512
Payed duly	6050
Payment delayed 2 months	3927
Payment delayed 3 months	326
Payment delayed 4 months	99
Other values (5)	86

Length

Max length	24
Median length	7
Mean length	10.118933
Min length	7

Characters and Unicode

Total characters	303568
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Payment delayed 2 months
2nd row	Payment delayed 2 months
3rd row	Unknown
4th row	Unknown
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	19512	65.0%
Payed duly	6050	20.2%
Payment delayed 2 months	3927	13.1%
Payment delayed 3 months	326	1.1%
Payment delayed 4 months	99	0.3%
Payment delayed 1 month	28	0.1%
Payment delayed 5 months	25	0.1%
Payment delayed 7 months	20	0.1%
Payment delayed 6 months	12	< 0.1%
Payment delayed 8 months	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	19512	39.5%
payed	6050	12.3%
duly	6050	12.3%
payment	4438	9.0%
delayed	4438	9.0%
months	4410	8.9%
2	3927	8.0%
3	326	0.7%
4	99	0.2%
1	28	0.1%
Other values (5)	86	0.2%

Most occurring characters

Value	Count	Frequency (%)
n	67412	22.2%
o	23950	7.9%
y	20976	6.9%
d	20976	6.9%
U	19512	6.4%
w	19512	6.4%
k	19512	6.4%
	19364	6.4%
e	19364	6.4%
a	14926	4.9%
Other values (15)	58064	19.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	303568	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	67412	22.2%
o	23950	7.9%
y	20976	6.9%
d	20976	6.9%
U	19512	6.4%
w	19512	6.4%
k	19512	6.4%
	19364	6.4%
e	19364	6.4%
a	14926	4.9%
Other values (15)	58064	19.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	303568	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	67412	22.2%
o	23950	7.9%
y	20976	6.9%
d	20976	6.9%
U	19512	6.4%
w	19512	6.4%
k	19512	6.4%
	19364	6.4%
e	19364	6.4%
a	14926	4.9%
Other values (15)	58064	19.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	303568	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	67412	22.2%
o	23950	7.9%
y	20976	6.9%
d	20976	6.9%
U	19512	6.4%
w	19512	6.4%
k	19512	6.4%
	19364	6.4%
e	19364	6.4%
a	14926	4.9%
Other values (15)	58064	19.1%

payment_status_jul
Categorical

High correlation Imbalance

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.5 KiB

Unknown	19849
Payed duly	5938
Payment delayed 2 months	3819
Payment delayed 3 months	240
Payment delayed 4 months	76
Other values (5)	78

Length

Max length	24
Median length	7
Mean length	9.9810333
Min length	7

Characters and Unicode

Total characters	299431
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Payed duly
2nd row	Unknown
3rd row	Unknown
4th row	Unknown
5th row	Payed duly

Common Values

Value	Count	Frequency (%)
Unknown	19849	66.2%
Payed duly	5938	19.8%
Payment delayed 2 months	3819	12.7%
Payment delayed 3 months	240	0.8%
Payment delayed 4 months	76	0.3%
Payment delayed 7 months	27	0.1%
Payment delayed 6 months	23	0.1%
Payment delayed 5 months	21	0.1%
Payment delayed 1 month	4	< 0.1%
Payment delayed 8 months	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	19849	40.9%
payed	5938	12.2%
duly	5938	12.2%
payment	4213	8.7%
delayed	4213	8.7%
months	4209	8.7%
2	3819	7.9%
3	240	0.5%
4	76	0.2%
7	27	0.1%
Other values (5)	55	0.1%

Most occurring characters

Value	Count	Frequency (%)
n	67973	22.7%
o	24062	8.0%
y	20302	6.8%
d	20302	6.8%
U	19849	6.6%
w	19849	6.6%
k	19849	6.6%
	18577	6.2%
e	18577	6.2%
a	14364	4.8%
Other values (15)	55727	18.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	299431	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	67973	22.7%
o	24062	8.0%
y	20302	6.8%
d	20302	6.8%
U	19849	6.6%
w	19849	6.6%
k	19849	6.6%
	18577	6.2%
e	18577	6.2%
a	14364	4.8%
Other values (15)	55727	18.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	299431	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	67973	22.7%
o	24062	8.0%
y	20302	6.8%
d	20302	6.8%
U	19849	6.6%
w	19849	6.6%
k	19849	6.6%
	18577	6.2%
e	18577	6.2%
a	14364	4.8%
Other values (15)	55727	18.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	299431	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	67973	22.7%
o	24062	8.0%
y	20302	6.8%
d	20302	6.8%
U	19849	6.6%
w	19849	6.6%
k	19849	6.6%
	18577	6.2%
e	18577	6.2%
a	14364	4.8%
Other values (15)	55727	18.6%

payment_status_jun
Categorical

High correlation Imbalance

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.5 KiB

Unknown	20803
Payed duly	5687
Payment delayed 2 months	3159
Payment delayed 3 months	180
Payment delayed 4 months	69
Other values (5)	102

Length

Max length	24
Median length	7
Mean length	9.5576333
Min length	7

Characters and Unicode

Total characters	286729
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Payed duly
2nd row	Unknown
3rd row	Unknown
4th row	Unknown
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	20803	69.3%
Payed duly	5687	19.0%
Payment delayed 2 months	3159	10.5%
Payment delayed 3 months	180	0.6%
Payment delayed 4 months	69	0.2%
Payment delayed 7 months	58	0.2%
Payment delayed 5 months	35	0.1%
Payment delayed 6 months	5	< 0.1%
Payment delayed 1 month	2	< 0.1%
Payment delayed 8 months	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	20803	45.0%
payed	5687	12.3%
duly	5687	12.3%
payment	3510	7.6%
delayed	3510	7.6%
months	3508	7.6%
2	3159	6.8%
3	180	0.4%
4	69	0.1%
7	58	0.1%
Other values (5)	46	0.1%

Most occurring characters

Value	Count	Frequency (%)
n	69429	24.2%
o	24313	8.5%
U	20803	7.3%
k	20803	7.3%
w	20803	7.3%
y	18394	6.4%
d	18394	6.4%
	16217	5.7%
e	16217	5.7%
a	12707	4.4%
Other values (15)	48649	17.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	286729	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	69429	24.2%
o	24313	8.5%
U	20803	7.3%
k	20803	7.3%
w	20803	7.3%
y	18394	6.4%
d	18394	6.4%
	16217	5.7%
e	16217	5.7%
a	12707	4.4%
Other values (15)	48649	17.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	286729	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	69429	24.2%
o	24313	8.5%
U	20803	7.3%
k	20803	7.3%
w	20803	7.3%
y	18394	6.4%
d	18394	6.4%
	16217	5.7%
e	16217	5.7%
a	12707	4.4%
Other values (15)	48649	17.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	286729	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	69429	24.2%
o	24313	8.5%
U	20803	7.3%
k	20803	7.3%
w	20803	7.3%
y	18394	6.4%
d	18394	6.4%
	16217	5.7%
e	16217	5.7%
a	12707	4.4%
Other values (15)	48649	17.0%

payment_status_may
Categorical

High correlation Imbalance

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.5 KiB

Unknown	21493
Payed duly	5539
Payment delayed 2 months	2626
Payment delayed 3 months	178
Payment delayed 4 months	84
Other values (4)	80

Length

Max length	24
Median length	7
Mean length	9.2357667
Min length	7

Characters and Unicode

Total characters	277073
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Unknown
2nd row	Unknown
3rd row	Unknown
4th row	Unknown
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	21493	71.6%
Payed duly	5539	18.5%
Payment delayed 2 months	2626	8.8%
Payment delayed 3 months	178	0.6%
Payment delayed 4 months	84	0.3%
Payment delayed 7 months	58	0.2%
Payment delayed 5 months	17	0.1%
Payment delayed 6 months	4	< 0.1%
Payment delayed 8 months	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	21493	48.4%
payed	5539	12.5%
duly	5539	12.5%
payment	2968	6.7%
delayed	2968	6.7%
months	2968	6.7%
2	2626	5.9%
3	178	0.4%
4	84	0.2%
7	58	0.1%
Other values (3)	22	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	70415	25.4%
o	24461	8.8%
U	21493	7.8%
k	21493	7.8%
w	21493	7.8%
y	17014	6.1%
d	17014	6.1%
e	14443	5.2%
	14443	5.2%
a	11475	4.1%
Other values (14)	43329	15.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	277073	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	70415	25.4%
o	24461	8.8%
U	21493	7.8%
k	21493	7.8%
w	21493	7.8%
y	17014	6.1%
d	17014	6.1%
e	14443	5.2%
	14443	5.2%
a	11475	4.1%
Other values (14)	43329	15.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	277073	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	70415	25.4%
o	24461	8.8%
U	21493	7.8%
k	21493	7.8%
w	21493	7.8%
y	17014	6.1%
d	17014	6.1%
e	14443	5.2%
	14443	5.2%
a	11475	4.1%
Other values (14)	43329	15.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	277073	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	70415	25.4%
o	24461	8.8%
U	21493	7.8%
k	21493	7.8%
w	21493	7.8%
y	17014	6.1%
d	17014	6.1%
e	14443	5.2%
	14443	5.2%
a	11475	4.1%
Other values (14)	43329	15.6%

payment_status_apr
Categorical

High correlation Imbalance

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.5 KiB

Unknown	21181
Payed duly	5740
Payment delayed 2 months	2766
Payment delayed 3 months	184
Payment delayed 4 months	49
Other values (4)	80

Length

Max length	24
Median length	7
Mean length	9.3187667
Min length	7

Characters and Unicode

Total characters	279563
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unknown
2nd row	Payment delayed 2 months
3rd row	Unknown
4th row	Unknown
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	21181	70.6%
Payed duly	5740	19.1%
Payment delayed 2 months	2766	9.2%
Payment delayed 3 months	184	0.6%
Payment delayed 4 months	49	0.2%
Payment delayed 7 months	46	0.2%
Payment delayed 6 months	19	0.1%
Payment delayed 5 months	13	< 0.1%
Payment delayed 8 months	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	21181	47.1%
payed	5740	12.8%
duly	5740	12.8%
payment	3079	6.8%
delayed	3079	6.8%
months	3079	6.8%
2	2766	6.1%
3	184	0.4%
4	49	0.1%
7	46	0.1%
Other values (3)	34	0.1%

Most occurring characters

Value	Count	Frequency (%)
n	69701	24.9%
o	24260	8.7%
U	21181	7.6%
k	21181	7.6%
w	21181	7.6%
y	17638	6.3%
d	17638	6.3%
e	14977	5.4%
	14977	5.4%
a	11898	4.3%
Other values (14)	44931	16.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	279563	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	69701	24.9%
o	24260	8.7%
U	21181	7.6%
k	21181	7.6%
w	21181	7.6%
y	17638	6.3%
d	17638	6.3%
e	14977	5.4%
	14977	5.4%
a	11898	4.3%
Other values (14)	44931	16.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	279563	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	69701	24.9%
o	24260	8.7%
U	21181	7.6%
k	21181	7.6%
w	21181	7.6%
y	17638	6.3%
d	17638	6.3%
e	14977	5.4%
	14977	5.4%
a	11898	4.3%
Other values (14)	44931	16.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	279563	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	69701	24.9%
o	24260	8.7%
U	21181	7.6%
k	21181	7.6%
w	21181	7.6%
y	17638	6.3%
d	17638	6.3%
e	14977	5.4%
	14977	5.4%
a	11898	4.3%
Other values (14)	44931	16.1%

bill_statement_sep
Real number (ℝ)

High correlation Zeros

Distinct	22723
Distinct (%)	75.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51223.331

Minimum	-165580
Maximum	964511
Zeros	2008
Zeros (%)	6.7%
Negative	590
Negative (%)	2.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	-165580
5-th percentile	0
Q1	3558.75
median	22381.5
Q3	67091
95-th percentile	201203.05
Maximum	964511
Range	1130091
Interquartile range (IQR)	63532.25

Descriptive statistics

Standard deviation	73635.861
Coefficient of variation (CV)	1.4375453
Kurtosis	9.8062893
Mean	51223.331
Median Absolute Deviation (MAD)	21800.5
Skewness	2.663861
Sum	1.5366999 × 10⁹
Variance	5.42224 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2008	6.7%
390	244	0.8%
780	76	0.3%
326	72	0.2%
316	63	0.2%
2500	59	0.2%
396	49	0.2%
2400	39	0.1%
416	29	0.1%
500	25	0.1%
Other values (22713)	27336	91.1%

Value	Count	Frequency (%)
-165580	1	< 0.1%
-154973	1	< 0.1%
-15308	1	< 0.1%
-14386	1	< 0.1%
-11545	1	< 0.1%
-10682	1	< 0.1%
-9802	1	< 0.1%
-9095	1	< 0.1%
-8187	1	< 0.1%
-7438	1	< 0.1%

Value	Count	Frequency (%)
964511	1	< 0.1%
746814	1	< 0.1%
653062	1	< 0.1%
630458	1	< 0.1%
626648	1	< 0.1%
621749	1	< 0.1%
613860	1	< 0.1%
610723	1	< 0.1%
608594	1	< 0.1%
604019	1	< 0.1%

bill_statement_aug
Real number (ℝ)

High correlation Zeros

Distinct	22346
Distinct (%)	74.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49179.075

Minimum	-69777
Maximum	983931
Zeros	2506
Zeros (%)	8.4%
Negative	669
Negative (%)	2.2%
Memory size	234.5 KiB

Quantile statistics

Minimum	-69777
5-th percentile	0
Q1	2984.75
median	21200
Q3	64006.25
95-th percentile	194792.2
Maximum	983931
Range	1053708
Interquartile range (IQR)	61021.5

Descriptive statistics

Standard deviation	71173.769
Coefficient of variation (CV)	1.4472368
Kurtosis	10.302946
Mean	49179.075
Median Absolute Deviation (MAD)	20810
Skewness	2.7052209
Sum	1.4753723 × 10⁹
Variance	5.0657054 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2506	8.4%
390	231	0.8%
326	75	0.2%
780	75	0.2%
316	72	0.2%
396	51	0.2%
2500	51	0.2%
2400	42	0.1%
-200	29	0.1%
416	28	0.1%
Other values (22336)	26840	89.5%

Value	Count	Frequency (%)
-69777	1	< 0.1%
-67526	1	< 0.1%
-33350	1	< 0.1%
-30000	1	< 0.1%
-26214	1	< 0.1%
-24704	1	< 0.1%
-24702	1	< 0.1%
-22960	1	< 0.1%
-18618	1	< 0.1%
-18088	1	< 0.1%

Value	Count	Frequency (%)
983931	1	< 0.1%
743970	1	< 0.1%
671563	1	< 0.1%
646770	1	< 0.1%
624475	1	< 0.1%
605943	1	< 0.1%
597793	1	< 0.1%
586825	1	< 0.1%
581775	1	< 0.1%
577681	1	< 0.1%

bill_statement_jul
Real number (ℝ)

High correlation Zeros

Distinct	22026
Distinct (%)	73.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47013.155

Minimum	-157264
Maximum	1664089
Zeros	2870
Zeros (%)	9.6%
Negative	655
Negative (%)	2.2%
Memory size	234.5 KiB

Quantile statistics

Minimum	-157264
5-th percentile	0
Q1	2666.25
median	20088.5
Q3	60164.75
95-th percentile	187821.05
Maximum	1664089
Range	1821353
Interquartile range (IQR)	57498.5

Descriptive statistics

Standard deviation	69349.387
Coefficient of variation (CV)	1.475106
Kurtosis	19.783255
Mean	47013.155
Median Absolute Deviation (MAD)	19708.5
Skewness	3.08783
Sum	1.4103946 × 10⁹
Variance	4.8093375 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2870	9.6%
390	275	0.9%
780	74	0.2%
326	63	0.2%
316	62	0.2%
396	48	0.2%
2500	40	0.1%
2400	39	0.1%
416	29	0.1%
200	27	0.1%
Other values (22016)	26473	88.2%

Value	Count	Frequency (%)
-157264	1	< 0.1%
-61506	1	< 0.1%
-46127	1	< 0.1%
-34041	1	< 0.1%
-25443	1	< 0.1%
-24702	1	< 0.1%
-20320	1	< 0.1%
-17706	1	< 0.1%
-15910	1	< 0.1%
-15641	1	< 0.1%

Value	Count	Frequency (%)
1664089	1	< 0.1%
855086	1	< 0.1%
693131	1	< 0.1%
689643	1	< 0.1%
689627	1	< 0.1%
632041	1	< 0.1%
597415	1	< 0.1%
578971	1	< 0.1%
577957	1	< 0.1%
577015	1	< 0.1%

bill_statement_jun
Real number (ℝ)

High correlation Zeros

Distinct	21548
Distinct (%)	71.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43262.949

Minimum	-170000
Maximum	891586
Zeros	3195
Zeros (%)	10.7%
Negative	675
Negative (%)	2.2%
Memory size	234.5 KiB

Quantile statistics

Minimum	-170000
5-th percentile	0
Q1	2326.75
median	19052
Q3	54506
95-th percentile	174333.35
Maximum	891586
Range	1061586
Interquartile range (IQR)	52179.25

Descriptive statistics

Standard deviation	64332.856
Coefficient of variation (CV)	1.4870197
Kurtosis	11.309325
Mean	43262.949
Median Absolute Deviation (MAD)	18656
Skewness	2.8219653
Sum	1.2978885 × 10⁹
Variance	4.1387164 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3195	10.7%
390	246	0.8%
780	101	0.3%
316	68	0.2%
326	62	0.2%
396	44	0.1%
2400	39	0.1%
150	39	0.1%
2500	34	0.1%
1000	33	0.1%
Other values (21538)	26139	87.1%

Value	Count	Frequency (%)
-170000	1	< 0.1%
-81334	1	< 0.1%
-65167	1	< 0.1%
-50616	1	< 0.1%
-46627	1	< 0.1%
-34503	1	< 0.1%
-27490	1	< 0.1%
-24303	1	< 0.1%
-22108	1	< 0.1%
-20320	1	< 0.1%

Value	Count	Frequency (%)
891586	1	< 0.1%
706864	1	< 0.1%
628699	1	< 0.1%
616836	1	< 0.1%
572805	1	< 0.1%
569034	1	< 0.1%
565669	1	< 0.1%
563543	1	< 0.1%
548020	1	< 0.1%
542653	1	< 0.1%

bill_statement_may
Real number (ℝ)

High correlation Zeros

Distinct	21010
Distinct (%)	70.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40311.401

Minimum	-81334
Maximum	927171
Zeros	3506
Zeros (%)	11.7%
Negative	655
Negative (%)	2.2%
Memory size	234.5 KiB

Quantile statistics

Minimum	-81334
5-th percentile	0
Q1	1763
median	18104.5
Q3	50190.5
95-th percentile	165794.3
Maximum	927171
Range	1008505
Interquartile range (IQR)	48427.5

Descriptive statistics

Standard deviation	60797.156
Coefficient of variation (CV)	1.5081876
Kurtosis	12.305881
Mean	40311.401
Median Absolute Deviation (MAD)	17688.5
Skewness	2.8763799
Sum	1.209342 × 10⁹
Variance	3.6962941 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3506	11.7%
390	235	0.8%
780	94	0.3%
316	79	0.3%
326	62	0.2%
150	58	0.2%
396	47	0.2%
2400	39	0.1%
2500	37	0.1%
416	36	0.1%
Other values (21000)	25807	86.0%

Value	Count	Frequency (%)
-81334	1	< 0.1%
-61372	1	< 0.1%
-53007	1	< 0.1%
-46627	1	< 0.1%
-37594	1	< 0.1%
-36156	1	< 0.1%
-30481	1	< 0.1%
-28335	1	< 0.1%
-23003	1	< 0.1%
-20753	1	< 0.1%

Value	Count	Frequency (%)
927171	1	< 0.1%
823540	1	< 0.1%
587067	1	< 0.1%
551702	1	< 0.1%
547880	1	< 0.1%
530672	1	< 0.1%
524315	1	< 0.1%
516139	1	< 0.1%
514114	1	< 0.1%
508213	1	< 0.1%

bill_statement_apr
Real number (ℝ)

High correlation Zeros

Distinct	20604
Distinct (%)	68.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38871.76

Minimum	-339603
Maximum	961664
Zeros	4020
Zeros (%)	13.4%
Negative	688
Negative (%)	2.3%
Memory size	234.5 KiB

Quantile statistics

Minimum	-339603
5-th percentile	0
Q1	1256
median	17071
Q3	49198.25
95-th percentile	161912
Maximum	961664
Range	1301267
Interquartile range (IQR)	47942.25

Descriptive statistics

Standard deviation	59554.108
Coefficient of variation (CV)	1.5320661
Kurtosis	12.270705
Mean	38871.76
Median Absolute Deviation (MAD)	16755
Skewness	2.8466446
Sum	1.1661528 × 10⁹
Variance	3.5466917 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4020	13.4%
390	207	0.7%
780	86	0.3%
150	78	0.3%
316	77	0.3%
326	56	0.2%
396	45	0.1%
416	36	0.1%
-18	33	0.1%
2400	32	0.1%
Other values (20594)	25330	84.4%

Value	Count	Frequency (%)
-339603	1	< 0.1%
-209051	1	< 0.1%
-150953	1	< 0.1%
-94625	1	< 0.1%
-73895	1	< 0.1%
-57060	1	< 0.1%
-51443	1	< 0.1%
-51183	1	< 0.1%
-46627	1	< 0.1%
-45734	1	< 0.1%

Value	Count	Frequency (%)
961664	1	< 0.1%
699944	1	< 0.1%
568638	1	< 0.1%
527711	1	< 0.1%
527566	1	< 0.1%
514975	1	< 0.1%
513798	1	< 0.1%
511905	1	< 0.1%
501370	1	< 0.1%
499100	1	< 0.1%

previous_payment_sep
Real number (ℝ)

High correlation Zeros

Distinct	7943
Distinct (%)	26.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5663.5805

Minimum	0
Maximum	873552
Zeros	5249
Zeros (%)	17.5%
Negative	0
Negative (%)	0.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1000
median	2100
Q3	5006
95-th percentile	18428.2
Maximum	873552
Range	873552
Interquartile range (IQR)	4006

Descriptive statistics

Standard deviation	16563.28
Coefficient of variation (CV)	2.9245246
Kurtosis	415.25474
Mean	5663.5805
Median Absolute Deviation (MAD)	1932
Skewness	14.668364
Sum	1.6990742 × 10⁸
Variance	2.7434226 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5249	17.5%
2000	1363	4.5%
3000	891	3.0%
5000	698	2.3%
1500	507	1.7%
4000	426	1.4%
10000	401	1.3%
1000	365	1.2%
2500	298	1.0%
6000	294	1.0%
Other values (7933)	19508	65.0%

Value	Count	Frequency (%)
0	5249	17.5%
1	9	< 0.1%
2	14	< 0.1%
3	15	0.1%
4	18	0.1%
5	12	< 0.1%
6	15	0.1%
7	9	< 0.1%
8	8	< 0.1%
9	7	< 0.1%

Value	Count	Frequency (%)
873552	1	< 0.1%
505000	1	< 0.1%
493358	1	< 0.1%
423903	1	< 0.1%
405016	1	< 0.1%
368199	1	< 0.1%
323014	1	< 0.1%
304815	1	< 0.1%
302000	1	< 0.1%
300039	1	< 0.1%

previous_payment_aug
Real number (ℝ)

High correlation Skewed Zeros

Distinct	7899
Distinct (%)	26.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5921.1635

Minimum	0
Maximum	1684259
Zeros	5396
Zeros (%)	18.0%
Negative	0
Negative (%)	0.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	833
median	2009
Q3	5000
95-th percentile	19004.35
Maximum	1684259
Range	1684259
Interquartile range (IQR)	4167

Descriptive statistics

Standard deviation	23040.87
Coefficient of variation (CV)	3.8912741
Kurtosis	1641.6319
Mean	5921.1635
Median Absolute Deviation (MAD)	1991
Skewness	30.453817
Sum	1.776349 × 10⁸
Variance	5.3088171 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5396	18.0%
2000	1290	4.3%
3000	857	2.9%
5000	717	2.4%
1000	594	2.0%
1500	521	1.7%
4000	410	1.4%
10000	318	1.1%
6000	283	0.9%
2500	251	0.8%
Other values (7889)	19363	64.5%

Value	Count	Frequency (%)
0	5396	18.0%
1	15	0.1%
2	20	0.1%
3	18	0.1%
4	11	< 0.1%
5	25	0.1%
6	8	< 0.1%
7	12	< 0.1%
8	9	< 0.1%
9	6	< 0.1%

Value	Count	Frequency (%)
1684259	1	< 0.1%
1227082	1	< 0.1%
1215471	1	< 0.1%
1024516	1	< 0.1%
580464	1	< 0.1%
415552	1	< 0.1%
401003	1	< 0.1%
388126	1	< 0.1%
385228	1	< 0.1%
384986	1	< 0.1%

previous_payment_jul
Real number (ℝ)

High correlation Zeros

Distinct	7518
Distinct (%)	25.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5225.6815

Minimum	0
Maximum	896040
Zeros	5968
Zeros (%)	19.9%
Negative	0
Negative (%)	0.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	390
median	1800
Q3	4505
95-th percentile	17589.4
Maximum	896040
Range	896040
Interquartile range (IQR)	4115

Descriptive statistics

Standard deviation	17606.961
Coefficient of variation (CV)	3.3693139
Kurtosis	564.31123
Mean	5225.6815
Median Absolute Deviation (MAD)	1795
Skewness	17.216635
Sum	1.5677044 × 10⁸
Variance	3.1000509 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5968	19.9%
2000	1285	4.3%
1000	1103	3.7%
3000	870	2.9%
5000	721	2.4%
1500	490	1.6%
4000	381	1.3%
10000	312	1.0%
1200	243	0.8%
6000	241	0.8%
Other values (7508)	18386	61.3%

Value	Count	Frequency (%)
0	5968	19.9%
1	13	< 0.1%
2	19	0.1%
3	14	< 0.1%
4	15	0.1%
5	18	0.1%
6	14	< 0.1%
7	18	0.1%
8	10	< 0.1%
9	12	< 0.1%

Value	Count	Frequency (%)
896040	1	< 0.1%
889043	1	< 0.1%
508229	1	< 0.1%
417588	1	< 0.1%
400972	1	< 0.1%
397092	1	< 0.1%
380478	1	< 0.1%
371718	1	< 0.1%
349395	1	< 0.1%
344261	1	< 0.1%

previous_payment_jun
Real number (ℝ)

High correlation Zeros

Distinct	6937
Distinct (%)	23.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4826.0769

Minimum	0
Maximum	621000
Zeros	6408
Zeros (%)	21.4%
Negative	0
Negative (%)	0.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	296
median	1500
Q3	4013.25
95-th percentile	16014.95
Maximum	621000
Range	621000
Interquartile range (IQR)	3717.25

Descriptive statistics

Standard deviation	15666.16
Coefficient of variation (CV)	3.246148
Kurtosis	277.33377
Mean	4826.0769
Median Absolute Deviation (MAD)	1500
Skewness	12.904985
Sum	1.4478231 × 10⁸
Variance	2.4542856 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6408	21.4%
1000	1394	4.6%
2000	1214	4.0%
3000	887	3.0%
5000	810	2.7%
1500	441	1.5%
4000	402	1.3%
10000	341	1.1%
2500	259	0.9%
500	258	0.9%
Other values (6927)	17586	58.6%

Value	Count	Frequency (%)
0	6408	21.4%
1	22	0.1%
2	22	0.1%
3	13	< 0.1%
4	20	0.1%
5	12	< 0.1%
6	16	0.1%
7	11	< 0.1%
8	7	< 0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
621000	1	< 0.1%
528897	1	< 0.1%
497000	1	< 0.1%
432130	1	< 0.1%
400046	1	< 0.1%
331788	1	< 0.1%
330982	1	< 0.1%
320008	1	< 0.1%
313094	1	< 0.1%
292962	1	< 0.1%

previous_payment_may
Real number (ℝ)

High correlation Zeros

Distinct	6897
Distinct (%)	23.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4799.3876

Minimum	0
Maximum	426529
Zeros	6703
Zeros (%)	22.3%
Negative	0
Negative (%)	0.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	252.5
median	1500
Q3	4031.5
95-th percentile	16000
Maximum	426529
Range	426529
Interquartile range (IQR)	3779

Descriptive statistics

Standard deviation	15278.306
Coefficient of variation (CV)	3.1833865
Kurtosis	180.06394
Mean	4799.3876
Median Absolute Deviation (MAD)	1500
Skewness	11.127417
Sum	1.4398163 × 10⁸
Variance	2.3342662 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6703	22.3%
1000	1340	4.5%
2000	1323	4.4%
3000	947	3.2%
5000	814	2.7%
1500	426	1.4%
4000	401	1.3%
10000	343	1.1%
500	250	0.8%
6000	247	0.8%
Other values (6887)	17206	57.4%

Value	Count	Frequency (%)
0	6703	22.3%
1	21	0.1%
2	13	< 0.1%
3	13	< 0.1%
4	12	< 0.1%
5	9	< 0.1%
6	7	< 0.1%
7	9	< 0.1%
8	6	< 0.1%
9	6	< 0.1%

Value	Count	Frequency (%)
426529	1	< 0.1%
417990	1	< 0.1%
388071	1	< 0.1%
379267	1	< 0.1%
332000	1	< 0.1%
331788	1	< 0.1%
330982	1	< 0.1%
326889	1	< 0.1%
317077	1	< 0.1%
310135	1	< 0.1%

previous_payment_apr
Real number (ℝ)

High correlation Zeros

Distinct	6939
Distinct (%)	23.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5215.5026

Minimum	0
Maximum	528666
Zeros	7173
Zeros (%)	23.9%
Negative	0
Negative (%)	0.0%
Memory size	234.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	117.75
median	1500
Q3	4000
95-th percentile	17343.8
Maximum	528666
Range	528666
Interquartile range (IQR)	3882.25

Descriptive statistics

Standard deviation	17777.466
Coefficient of variation (CV)	3.4085815
Kurtosis	167.16143
Mean	5215.5026
Median Absolute Deviation (MAD)	1500
Skewness	10.640727
Sum	1.5646508 × 10⁸
Variance	3.1603829 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7173	23.9%
1000	1299	4.3%
2000	1295	4.3%
3000	914	3.0%
5000	808	2.7%
1500	439	1.5%
4000	411	1.4%
10000	356	1.2%
500	247	0.8%
6000	220	0.7%
Other values (6929)	16838	56.1%

Value	Count	Frequency (%)
0	7173	23.9%
1	20	0.1%
2	9	< 0.1%
3	14	< 0.1%
4	12	< 0.1%
5	7	< 0.1%
6	6	< 0.1%
7	5	< 0.1%
8	6	< 0.1%
9	7	< 0.1%

Value	Count	Frequency (%)
528666	1	< 0.1%
527143	1	< 0.1%
443001	1	< 0.1%
422000	1	< 0.1%
403500	1	< 0.1%
377000	1	< 0.1%
372495	1	< 0.1%
351282	1	< 0.1%
345293	1	< 0.1%
308000	1	< 0.1%

default_payment_next_month
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	234.5 KiB

0	23364
1	6636

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	30000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	23364	77.9%
1	6636	22.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	23364	77.9%
1	6636	22.1%

Most occurring characters

Value	Count	Frequency (%)
0	23364	77.9%
1	6636	22.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	30000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	23364	77.9%
1	6636	22.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	30000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	23364	77.9%
1	6636	22.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	30000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	23364	77.9%
1	6636	22.1%

Interactions

Correlations

	age	bill_statement_apr	bill_statement_aug	bill_statement_jul	bill_statement_jun	bill_statement_may	bill_statement_sep	default_payment_next_month	education	limit_bal	marriage	payment_status_apr	payment_status_aug	payment_status_jul	payment_status_jun	payment_status_may	payment_status_sep	previous_payment_apr	previous_payment_aug	previous_payment_jul	previous_payment_jun	previous_payment_may	previous_payment_sep	sex
age	1.000	0.000	0.001	0.002	-0.003	-0.000	0.001	0.048	0.157	0.186	0.351	0.029	0.029	0.029	0.025	0.027	0.029	0.039	0.044	0.033	0.041	0.038	0.033	0.091
bill_statement_apr	0.000	1.000	0.765	0.804	0.848	0.902	0.734	0.022	0.027	0.088	0.022	0.082	0.079	0.078	0.076	0.077	0.089	0.529	0.487	0.519	0.570	0.666	0.456	0.026
bill_statement_aug	0.001	0.765	1.000	0.908	0.848	0.803	0.911	0.031	0.058	0.049	0.018	0.104	0.125	0.128	0.116	0.107	0.135	0.429	0.498	0.468	0.461	0.449	0.636	0.033
bill_statement_jul	0.002	0.804	0.908	1.000	0.904	0.849	0.858	0.000	0.059	0.061	0.016	0.136	0.147	0.151	0.155	0.143	0.158	0.458	0.638	0.492	0.489	0.477	0.550	0.018
bill_statement_jun	-0.003	0.848	0.848	0.904	1.000	0.903	0.807	0.019	0.036	0.073	0.021	0.099	0.088	0.090	0.092	0.104	0.098	0.481	0.555	0.634	0.507	0.504	0.512	0.026
bill_statement_may	-0.000	0.902	0.803	0.849	0.903	1.000	0.769	0.017	0.057	0.081	0.021	0.135	0.118	0.117	0.120	0.127	0.126	0.509	0.515	0.549	0.647	0.525	0.483	0.021
bill_statement_sep	0.001	0.734	0.911	0.858	0.807	0.769	1.000	0.031	0.042	0.054	0.022	0.081	0.096	0.093	0.085	0.083	0.104	0.410	0.472	0.441	0.442	0.425	0.502	0.026
default_payment_next_month	0.048	0.022	0.031	0.000	0.019	0.017	0.031	1.000	0.073	0.157	0.029	0.250	0.339	0.295	0.279	0.270	0.423	0.028	0.013	0.024	0.022	0.035	0.027	0.040
education	0.157	0.027	0.058	0.059	0.036	0.057	0.042	0.073	1.000	0.159	0.134	0.070	0.092	0.086	0.077	0.069	0.090	0.029	0.000	0.021	0.000	0.017	0.000	0.026
limit_bal	0.186	0.088	0.049	0.061	0.073	0.081	0.054	0.157	0.159	1.000	0.078	0.077	0.090	0.088	0.084	0.079	0.080	0.317	0.278	0.284	0.283	0.294	0.272	0.074
marriage	0.351	0.022	0.018	0.016	0.021	0.021	0.022	0.029	0.134	0.078	1.000	0.021	0.025	0.020	0.025	0.019	0.026	0.002	0.024	0.023	0.035	0.010	0.034	0.029
payment_status_apr	0.029	0.082	0.104	0.136	0.099	0.135	0.081	0.250	0.070	0.077	0.021	1.000	0.266	0.390	0.516	0.619	0.257	0.006	0.000	0.000	0.000	0.041	0.000	0.040
payment_status_aug	0.029	0.079	0.125	0.147	0.088	0.118	0.096	0.339	0.092	0.090	0.025	0.266	1.000	0.595	0.440	0.325	0.634	0.018	0.024	0.011	0.000	0.011	0.023	0.050
payment_status_jul	0.029	0.078	0.128	0.151	0.090	0.117	0.093	0.295	0.086	0.088	0.020	0.390	0.595	1.000	0.586	0.470	0.487	0.040	0.022	0.013	0.000	0.006	0.000	0.047
payment_status_jun	0.025	0.076	0.116	0.155	0.092	0.120	0.085	0.279	0.077	0.084	0.025	0.516	0.440	0.586	1.000	0.623	0.375	0.054	0.000	0.036	0.008	0.000	0.000	0.048
payment_status_may	0.027	0.077	0.107	0.143	0.104	0.127	0.083	0.270	0.069	0.079	0.019	0.619	0.325	0.470	0.623	1.000	0.304	0.000	0.000	0.000	0.039	0.007	0.000	0.044
payment_status_sep	0.029	0.089	0.135	0.158	0.098	0.126	0.104	0.423	0.090	0.080	0.026	0.257	0.634	0.487	0.375	0.304	1.000	0.025	0.000	0.007	0.000	0.025	0.000	0.039
previous_payment_apr	0.039	0.529	0.429	0.458	0.481	0.509	0.410	0.028	0.029	0.317	0.002	0.006	0.018	0.040	0.054	0.000	0.025	1.000	0.491	0.505	0.547	0.549	0.455	0.013
previous_payment_aug	0.044	0.487	0.498	0.638	0.555	0.515	0.472	0.013	0.000	0.278	0.024	0.000	0.024	0.022	0.000	0.000	0.000	0.491	1.000	0.516	0.520	0.497	0.512	0.000
previous_payment_jul	0.033	0.519	0.468	0.492	0.634	0.549	0.441	0.024	0.021	0.284	0.023	0.000	0.011	0.013	0.036	0.000	0.007	0.505	0.516	1.000	0.516	0.534	0.519	0.013
previous_payment_jun	0.041	0.570	0.461	0.489	0.507	0.647	0.442	0.022	0.000	0.283	0.035	0.000	0.000	0.000	0.008	0.039	0.000	0.547	0.520	0.516	1.000	0.534	0.486	0.000
previous_payment_may	0.038	0.666	0.449	0.477	0.504	0.525	0.425	0.035	0.017	0.294	0.010	0.041	0.011	0.006	0.000	0.007	0.025	0.549	0.497	0.534	0.534	1.000	0.468	0.015
previous_payment_sep	0.033	0.456	0.636	0.550	0.512	0.483	0.502	0.027	0.000	0.272	0.034	0.000	0.023	0.000	0.000	0.000	0.000	0.455	0.512	0.519	0.486	0.468	1.000	0.000
sex	0.091	0.026	0.033	0.018	0.026	0.021	0.026	0.040	0.026	0.074	0.029	0.040	0.050	0.047	0.048	0.044	0.039	0.013	0.000	0.013	0.000	0.015	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	limit_bal	sex	education	marriage	age	payment_status_sep	payment_status_aug	payment_status_jul	payment_status_jun	payment_status_may	payment_status_apr	bill_statement_sep	bill_statement_aug	bill_statement_jul	bill_statement_jun	bill_statement_may	bill_statement_apr	previous_payment_sep	previous_payment_aug	previous_payment_jul	previous_payment_jun	previous_payment_may	previous_payment_apr	default_payment_next_month
0	20000	Female	University	Married	24.0	Payment delayed 2 months	Payment delayed 2 months	Payed duly	Payed duly	Unknown	Unknown	3913	3102	689	0	0	0	0	689	0	0	0	0	1
1	120000	Female	University	Single	26.0	Payed duly	Payment delayed 2 months	Unknown	Unknown	Unknown	Payment delayed 2 months	2682	1725	2682	3272	3455	3261	0	1000	1000	1000	0	2000	1
2	90000	Female	University	Single	34.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	29239	14027	13559	14331	14948	15549	1518	1500	1000	1000	1000	5000	0
3	50000	Female	University	Married	37.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	46990	48233	49291	28314	28959	29547	2000	2019	1200	1100	1069	1000	0
4	50000	Male	University	Married	57.0	Payed duly	Unknown	Payed duly	Unknown	Unknown	Unknown	8617	5670	35835	20940	19146	19131	2000	36681	10000	9000	689	679	0
5	50000	Male	Graduate school	Single	37.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	64400	57069	57608	19394	19619	20024	2500	1815	657	1000	1000	800	0
6	500000	Male	Graduate school	Single	29.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	367965	412023	445007	542653	483003	473944	55000	40000	38000	20239	13750	13770	0
7	100000	Female	University	Single	23.0	Unknown	Payed duly	Payed duly	Unknown	Unknown	Payed duly	11876	380	601	221	-159	567	380	601	0	581	1687	1542	0
8	140000	Female	High school	Married	28.0	Unknown	Unknown	Payment delayed 2 months	Unknown	Unknown	Unknown	11285	14096	12108	12211	11793	3719	3329	0	432	1000	1000	1000	0
9	20000	Male	High school	Single	35.0	Unknown	Unknown	Unknown	Unknown	Payed duly	Payed duly	0	0	0	0	13007	13912	0	0	0	13007	1122	0	0

	limit_bal	sex	education	marriage	age	payment_status_sep	payment_status_aug	payment_status_jul	payment_status_jun	payment_status_may	payment_status_apr	bill_statement_sep	bill_statement_aug	bill_statement_jul	bill_statement_jun	bill_statement_may	bill_statement_apr	previous_payment_sep	previous_payment_aug	previous_payment_jul	previous_payment_jun	previous_payment_may	previous_payment_apr	default_payment_next_month
29990	140000	Male	University	Married	41.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	138325	137142	139110	138262	49675	46121	6000	7000	4228	1505	2000	2000	0
29991	210000	Male	University	Married	34.0	Payment delayed 3 months	Payment delayed 2 months	Payment delayed 2 months	Payment delayed 2 months	Payment delayed 2 months	Payment delayed 2 months	2500	2500	2500	2500	2500	2500	0	0	0	0	0	0	1
29992	10000	Male	High school	Married	43.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	8802	10400	0	0	0	0	2000	0	0	0	0	0	0
29993	100000	Male	Graduate school	Single	38.0	Unknown	Payed duly	Payed duly	Unknown	Unknown	Unknown	3042	1427	102996	70626	69473	55004	2000	111784	4000	3000	2000	2000	0
29994	80000	Male	University	Single	34.0	Payment delayed 2 months	Payment delayed 2 months	Payment delayed 2 months	Payment delayed 2 months	Payment delayed 2 months	Payment delayed 2 months	72557	77708	79384	77519	82607	81158	7000	3500	0	7000	0	4000	1
29995	220000	NaN	High school	Married	39.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	188948	192815	208365	88004	31237	15980	8500	20000	5003	3047	5000	1000	0
29996	150000	Male	High school	Single	43.0	Payed duly	Payed duly	Payed duly	Payed duly	Unknown	Unknown	1683	1828	3502	8979	5190	0	1837	3526	8998	129	0	0	0
29997	30000	Male	University	Single	37.0	Payment delayed 4 months	Payment delayed 3 months	Payment delayed 2 months	Payed duly	Unknown	Unknown	3565	3356	2758	20878	20582	19357	0	0	22000	4200	2000	3100	1
29998	80000	Male	High school	Married	41.0	Payment delayed 1 month	Payed duly	Unknown	Unknown	Unknown	Payed duly	-1645	78379	76304	52774	11855	48944	85900	3409	1178	1926	52964	1804	1
29999	50000	Male	University	Married	46.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	47929	48905	49764	36535	32428	15313	2078	1800	1430	1000	1000	1000	1

Duplicate rows

Most frequently occurring

	limit_bal	sex	education	marriage	age	payment_status_sep	payment_status_aug	payment_status_jul	payment_status_jun	payment_status_may	payment_status_apr	bill_statement_sep	bill_statement_aug	bill_statement_jul	bill_statement_jun	bill_statement_may	bill_statement_apr	default_payment_next_month	# duplicates
0	20000	Male	University	Single	24.0	Payment delayed 2 months	Payment delayed 2 months	Payment delayed 4 months	Payment delayed 4 months	Payment delayed 4 months	Payment delayed 4 months	1650	1650	1650	1650	1650	1650	1	2
1	50000	Male	University	Single	26.0	Payment delayed 1 month	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2
2	80000	Female	High school	Married	42.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2
3	80000	Female	University	Married	31.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2
4	80000	Female	University	Single	25.0	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2
5	90000	Female	Graduate school	Single	31.0	Payment delayed 1 month	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2
6	100000	Female	University	Married	49.0	Payment delayed 1 month	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2
7	110000	Female	Graduate school	Single	31.0	Payment delayed 1 month	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2
8	140000	Male	Graduate school	Single	29.0	Payment delayed 1 month	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2
9	150000	Female	Graduate school	Married	31.0	Payment delayed 1 month	Unknown	Unknown	Unknown	Unknown	Unknown	0	0	0	0	0	0	0	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)